Description: Game Data Science by Alessandro Canossa, Anders Drachen, Magy Seif El-Nasr, Truong-Huy D. Nguyen Estimated delivery 4-14 business days Format Paperback Condition Brand New Description Games Data Science delivers an excellent introduction to this new domain and provides the definitive guide to methods and practices of computer science, analytics, and data science as applied to video games. Publisher Description Game data science, defined as the practice of deriving insights from game data, has created a revolution in the multibillion-dollar games industry - informing and enhancing production, design, and development processes. Almost all game companies and academics have now adopted some type of game data science, every tool utilized by game developers allows collecting data from games, yet there has been no definitive resource for academics and professionals in thisrapidly developing sector until now. Games Data Science delivers an excellent introduction to this new domain and provides the definitive guide to methods and practices of computerscience, analytics, and data science as applied to video games. It is the ideal resource for academic students and professional learners seeking to understand how data science is used within the game development and production cycle, as well as within the interdisciplinary field of games research.Organized into chapters that integrate laboratory and game data examples, this book provides a unique resource to train and educate both industry professionals and academics aboutthe use of game data science, with practical exercises and examples on how such processes are implemented and used in academia and industry, interweaving theoretical learning with practicalapplication throughout. Author Biography Magy Seif El-Nasr is a Professor of Computational Media and Vice Chair of Serious Games program at University of California at Santa Cruz, where she also directs the Game User Interaction and Intelligence (GUII) Lab. Dr. Seif El-Nasr earned her Ph.D. degree from Northwestern University in Computer Science. Her work is internationally known and cited in several game industry books. Additionally, she has received several awards and recognition within the gameresearch community. Truong-Huy Nguyen is currently working at Google as a Software Engineer. Before making the move to the tech industry, he was an assistant professor at the Department of Computer andInformation Science at Fordham University, New York, NY. He received his PhD in Computer Science from the National University of Singapore. His research focuses on discovering how humans make decisions and form strategies and tactics from behavioral data, as well as building experimental and practical applications to leverage such insights. His research work lies at the cross-junction of machine learning, artificial intelligence, and behavior analytics, with favorite applications being gamesand robotics. Dr. Alessandro Canossa has been straddling between the game industry and academia for many years. He has been Assistant Professor at the IT University of Copenhagen, Associate Professor atNortheastern University in Boston and hes now Professor at the Royal Danish Academy of Fine Arts. In his research, he employs psychological theories of personality, perception, motivation and emotion to design games with the purpose of investigating individual differences in behavior among users of digital entertainment. Hes now involved with Modl.AI, a company providing AI services to the game industry, where hes exploring how to triangulate data-driven insights with surveys and labobservations to advance the field of predictive analytics. Anders Drachen, PhD, is Professor at the University of York and Communications Director at the Department of Computer Science. He is co-director ofthe Digital Creativity Labs (digitalcreativity.ac.uk/), a UK Digital Economy Hub and World Centre for Excellence. He is recognized as one of the worlds most influential people in business intelligence in the Creative industries, and a core innovator in the domain with 140+ publications across game analytics and games user research. His work has assisted major international game publishers, as well as SMEs, make better decisions based on their data. Details ISBN 0192897888 ISBN-13 9780192897886 Title Game Data Science Author Alessandro Canossa, Anders Drachen, Magy Seif El-Nasr, Truong-Huy D. Nguyen Format Paperback Year 2021 Pages 416 Publisher Oxford University Press GE_Item_ID:133386485; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. 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ISBN-13: 9780192897886
Book Title: Game Data Science
Number of Pages: 384 Pages
Publication Name: Game Data Science
Language: English
Publisher: Oxford University Press, Incorporated
Item Height: 0.7 in
Publication Year: 2021
Subject: General
Item Weight: 24.1 Oz
Type: Textbook
Author: Anders Drachen, Truong-Huy D. Nguyen, Magy Seif El-Nasr, Alessandro Canossa
Item Length: 9.6 in
Subject Area: Computers, Sports & Recreation
Item Width: 6.1 in
Format: Trade Paperback